Titlebook: Cognitive Computing and Information Processing; 5th International Co V. N. Manjunath Aradhya,Mufti Mahmud,R. K. Bharath Conference proceedi

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书目名称Cognitive Computing and Information Processing影响因子(影响力)




书目名称Cognitive Computing and Information Processing影响因子(影响力)学科排名




书目名称Cognitive Computing and Information Processing网络公开度




书目名称Cognitive Computing and Information Processing网络公开度学科排名




书目名称Cognitive Computing and Information Processing被引频次




书目名称Cognitive Computing and Information Processing被引频次学科排名




书目名称Cognitive Computing and Information Processing年度引用




书目名称Cognitive Computing and Information Processing年度引用学科排名




书目名称Cognitive Computing and Information Processing读者反馈




书目名称Cognitive Computing and Information Processing读者反馈学科排名

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MVR Delay: Cooperative Light Weight Detection and Prevention of False Emergency Message Disseminatiofish needs and disrupt the reliability of VANETs. Emergency messages are intended to be delivered fast and the network should be optimized for faster delivery of emergency messages. A complex authentication procedure disturbs the utilities of emergency messaging in VANET. Towards this end, the emerg

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Comparative Analysis of Machine Learning Approaches to Assess Stability in Micro Grids modernization began, increasing electricity demand meant many Blackouts, distribution imbalances, and unavailability of power supply all these issues have resulted in high energy costs also in terms of pollution. The idea of a microgrid is growing in popularity as a means of addressing environment

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Machine Learning Approaches for Analysing Sentiment in Reviews on Massive Open Online Coursese students to enroll for Massive Open Online Courses (MOOC) [.]. Regardless, users struggle with choosing the right course given its credibility and complementary aspects. Many MOOC sites provide a review option for users’ feedback. Students generally opt for any course based on user ratings and fee

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Deep Belief Network Optimization Using PSOGAA Algorithm for Efficient Crop Recommendationn. Selecting the most suitable crops based on specific weather and soil conditions is vital to maximize yield and ensure profitability for farmers, contributing to global food security. In this context, this paper introduces a crop recommendation model utilizing Deep Belief Networks (DBN), fine-tune